GRENZE International Journal of Engineering and Technology
Vol. 8
(2022), Issue 2
Novel Approach for Disease Prediction in Healthcare using Blockchain and Machine Learning
Authors
A M Siri, Kushala R, Meghana J P, Prerana R Shetty, Shruthi K
Abstract
Today we have a tremendous measure of information accessible in each area, with the appearance of innovation accessible, giving answers for some problems is conceivable. In this venture we will give answers for the issues connected with medical care information and the executives utilising Machine Learning and Blockchain. Extricating just the vital data from the information is conceivable with the utilisation of Machine Learning. This is finished utilising prepared calculations. When this information is put away, the following issue is Data sharing and its dependability. This is where Blockchain comes into picture. The agreement in Blockchain innovation ensures that information is authentic and exchanges are secure. Blockchain innovation might possibly improve medical services by setting patients at the focal point of the medical care framework and expanding the protection and interoperability of wellbeing information. This paper centres fundamentally around taking care of medical services information the board issues by utilising Blockchain innovation and including a few key elements utilising Machine Learning. Motivation : The main motive of this project is to bring the characteristics of Machine learning and Blockchain together. Machine learning plays a crucial role in detecting deadly diseases. On the other hand, blockchain technology can revolutionise medical database interoperability and restrict unauthorised access to records.This would ensure that the sensitive patient data is tightly secured. Summary of the outcomes : This project aims to build a secure, ML driven healthcare management system which would ensure that the diseases are accurately predicted and categorised in the early stage. Further, it ensures that the trained model filters the data and discards all the personal details of the patient and protects it from data leaks and breaches. It powers the system with blockchain to secure the transactions between patients and the authorised doctor and give patients the flexibility to choose which doctor should view his health record and who should not.
Pages:
733 - 743